Title :
A New Approach to Detect and Classify Graphic Primitives in Engineering Drawings
Author :
De, Paramita ; Mandal, Sekhar ; Das, Amit ; Bhowmick, Partha
Author_Institution :
Comput. Sci. & Technol. Dept., IIEST, Shibpur, India
Abstract :
This paper presents a method to recognize and classify graphics in engineering drawing. The method consists of skeletonizing the input image, followed by segmentation of lines, arcs, and circles. Extracted line segments are classified into object lines, centerlines, dashed lines, and section lines, along with detection of arrowheads attached with lines and arcs. The stages of segmentation and classification are based on novel ideas of dominant chain code in digital geometry, unreliable area, and real-geometric analysis. Experimental results on various datasets demonstrate the efficiency and robustness of the proposed method.
Keywords :
document image processing; feature extraction; image classification; image segmentation; object detection; arc segmentation; arrowhead detection; circle segmentation; digital geometry; document image analysis; dominant chain code; engineering drawings; graphic primitives classification; graphic primitives detection; graphic primitives recognition; input image skeletonization; line segment extraction; line segmentation; real-geometric analysis; unreliable area analysis; Engineering drawings; Image segmentation; Junctions; Noise; Skeleton; Transforms; Document analysis; Engineering drawings; Geometric analysis; Graphic primitives;
Conference_Titel :
Emerging Applications of Information Technology (EAIT), 2014 Fourth International Conference of
DOI :
10.1109/EAIT.2014.33
